Intelligent reflection surface assisted wireless communication reflection phase configuration method
A reflective phase and reflective surface technology, which is applied in radio transmission systems, energy consumption reduction, space transmit diversity, etc., can solve problems such as difficult application, lack of signal receiving and sampling functions, difficulty in obtaining instantaneous channel state information, etc., and achieve fast Calculation, the best received signal quality, the effect of fast calculation speed
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Embodiment 1
[0058] This embodiment shows how to realize the reflection phase configuration method for intelligent reflective surface assisted wireless communication according to the present invention. In this embodiment, the number of units of the smart reflective surface is N=256, which is regularly distributed in space, and the corresponding statistical channel state information covariance matrix Σ in has a certain regularity, here it is set as a commonly used correlation model ∑ in [n,m] is the statistical channel state information covariance matrix ∑ in The [n, m]th element of , wherein ρ is a real number less than 1, representing the correlation coefficient between adjacent units, ρ is taken as 0.5 in this embodiment, ρ |m-n| Representation ∑ in The amplitude value of [m,n] is only related to the absolute value of the difference between the unit number m and n. When the absolute value of the difference becomes larger, ∑ in [m,n], that is, the correlation between the m and nth ...
Embodiment 2
[0070] This embodiment provides another method for implementing the intelligent reflective surface-assisted wireless communication reflective phase configuration method described in the present invention. In this embodiment, the number of units of the smart reflective surface is N=256, which is regularly distributed in space, and the corresponding statistical channel state information covariance matrix Σ in has a certain regularity, here it is set as a commonly used correlation model ∑ in [n,m] is the statistical channel state information covariance matrix ∑ in The [n, m]th element of , wherein ρ is a real number less than 1, representing the correlation coefficient between adjacent units, ρ is taken as 0.9 in this embodiment, ρ |m-n| Representation ∑ in The amplitude value of [m,n] is only related to the absolute value of the difference between the unit number m and n. When the absolute value of the difference becomes larger, ∑ in [m,n], that is, the correlation between ...
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